A company wants to develop an interpretable ML model to assess the risk of loan applications. Which type of ML model or algorithm will meet these requirements?

The correct answer is B. Logistic regression model. Logistic regression is a simple, interpretable ML model that provides clear relationships between input features and predicted outcomes. It is widely used for risk assessment tasks like loan applications, where transparency and explainability are critical.

Submitted by takeshi77· Mar 30, 2026Selecting and Implementing Machine Learning Models

Question

Options

ADeep learning model
BLogistic regression model
CK-means algorithm
DRandom cut forest algorithm

How the community answered

(26 responses)

A
8% (2)
B
77% (20)
C
4% (1)
D
12% (3)

Explanation

Logistic regression is a simple, interpretable ML model that provides clear relationships between input features and predicted outcomes. It is widely used for risk assessment tasks like loan applications, where transparency and explainability are critical.

Topics

#ML model interpretability#Logistic regression#Classification models#Risk modeling

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